Thermo Fisher Scientific

AI Engineer

Thermo Fisher Scientific

full-time

Posted on:

Location Type: Remote

Location: Remote • Pennsylvania • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSCloudMicroservicesPythonSQL

About the role

  • Build and optimize an AI chatbot (NL → SQL) for people analytics.
  • Develop and maintain data pipelines and cloud infrastructure in AWS.
  • Apply AWS Bedrock (6+ months experience preferred) to deliver generative AI solutions.
  • Collaborate within a cross-functional project team to design, test, and deploy tools.
  • Ensure quality, security, and performance across all solutions.

Requirements

  • 3 to 5 years in software development, data engineering, or related field.
  • Strong AWS expertise (S3, Lambda, Glue, Redshift, Bedrock preferred).
  • Proficiency in Python and SQL.
  • Knowledge of microservices, APIs, and modern frameworks.
  • Strong team player with excellent communication and problem-solving skills.
Benefits
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLAWSAWS Bedrockdata pipelinescloud infrastructuremicroservicesAPIsdata engineeringsoftware development
Soft skills
team playercommunicationproblem-solving
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